Solar energy is a pivotal clean energy source in the transition to carbon neutrality from fossil fuels.However,the intermittent and stochastic characteristics of solar radiation pose challenges for accurate simulation...Solar energy is a pivotal clean energy source in the transition to carbon neutrality from fossil fuels.However,the intermittent and stochastic characteristics of solar radiation pose challenges for accurate simulation and prediction.Accurately simulating and predicting solar radiation and its variability are crucial for optimizing solar energy utilization.This study conducted simulation experiments using the WRF-Solar model from 25 June to 25 July 2022,to evaluate the accuracy and performance of the simulated solar radiation across China.The simulations covered the whole country with a grid spacing of 27 km and were compared with ground observation network data from the Chinese Ecosystem Research Network.The results indicated that WRF-Solar can accurately capture the spatiotemporal patterns of global horizontal irradiance over China,but there is still an overestimation of solar radiation,and the model underestimates the total cloud cover.The root-mean-square error ranged from 92.83 to 188.13 W m^(-2) and the mean bias(MB)ranged from 21.05 to 56.22 W m^(-2).The simulation showed the smallest MB at Lhasa on the Qinghai–Tibet Plateau,while the largest MB was observed in Southeast China.To enhance the accuracy of solar radiation simulation,the authors compared the Fast All-sky Radiation Model for Solar with the Rapid Radiative Transfer Model for General Circulation Models and found that the former provides better simulation.展开更多
The Loess Plateau is an earthquake prone region of China, where the effects of loess deposit on ground motion were discovered during the 2008 Wenchuan earthquake(Ms8.0) and the 2013 Minxian-Zhangxian earthquake(Ms6.6)...The Loess Plateau is an earthquake prone region of China, where the effects of loess deposit on ground motion were discovered during the 2008 Wenchuan earthquake(Ms8.0) and the 2013 Minxian-Zhangxian earthquake(Ms6.6). The field investigations, observations, and analyses indicated that large number of casualties and tremendous economic losses were caused not only by collapse and damage of houses with poor seismic performance, landslides, but also amplification effects of site conditions, topography and thickness of loess deposit, on ground motion. In this paper, we chose Dazhai Village and Majiagou Village as the typical loess site affected by the two earthquakes for intensity evaluation, borehole exploration, temporary strong motion array, micro tremor survey, and numerical analysis. The aim is to explore the relations between amplification factors and site conditions in terms of topography and thickness of loess deposit. We also developed site amplification factors of ground motion for engineering design consideration at loess sites. The results showed that the amplification effects are more predominant with increase in thickness of loess deposit and slope height. The amplification mayincrease seismic intensity by 1 degree, PGA and predominant period by 2 times, respectively.展开更多
Mountains cover approximately 24%of the Earth’s land surface,providing crucial sources of the planet’s fresh water and supporting vital ecosystem services.However,under the pressures of climate change and human acti...Mountains cover approximately 24%of the Earth’s land surface,providing crucial sources of the planet’s fresh water and supporting vital ecosystem services.However,under the pressures of climate change and human activities,mountain ecosystems are rapidly transforming,acting as sentinels of global change.1 With the relentless advancement of satellite constellations,unmanned aerial vehicles(UAVs),and ground observation networks,we are entering a new era of stereoscopic Earth observation.Stereoscopic remote sensing combines observations from multi-altitude platforms and technologies like LiDAR and SAR to capture Earth’s information across various layers,altitudes,and depths.This approach enables the acquisition of multi-modal,multi-resolution,multiangle,multi-spectral,andmulti-temporal stereoscopic observation data,promoting a comprehensive understanding of the Earth’s surface and its dynamic processes.However,given the inherently complex three-dimensional(3D)nature of mountains,there is a pressing need for tailored observation methods and specific observation goals to effectively address the distinct challenges posed by these environments.展开更多
基金supported by the National Natural Science Foundation of China[grant number 42175132]the National Key R&D Program[grant number 2020YFA0607802]the CAS Information Technology Program[grant number CAS-WX2021SF-0107-02]。
文摘Solar energy is a pivotal clean energy source in the transition to carbon neutrality from fossil fuels.However,the intermittent and stochastic characteristics of solar radiation pose challenges for accurate simulation and prediction.Accurately simulating and predicting solar radiation and its variability are crucial for optimizing solar energy utilization.This study conducted simulation experiments using the WRF-Solar model from 25 June to 25 July 2022,to evaluate the accuracy and performance of the simulated solar radiation across China.The simulations covered the whole country with a grid spacing of 27 km and were compared with ground observation network data from the Chinese Ecosystem Research Network.The results indicated that WRF-Solar can accurately capture the spatiotemporal patterns of global horizontal irradiance over China,but there is still an overestimation of solar radiation,and the model underestimates the total cloud cover.The root-mean-square error ranged from 92.83 to 188.13 W m^(-2) and the mean bias(MB)ranged from 21.05 to 56.22 W m^(-2).The simulation showed the smallest MB at Lhasa on the Qinghai–Tibet Plateau,while the largest MB was observed in Southeast China.To enhance the accuracy of solar radiation simulation,the authors compared the Fast All-sky Radiation Model for Solar with the Rapid Radiative Transfer Model for General Circulation Models and found that the former provides better simulation.
基金financially supported by National Natural Science Foundation of China (No.51478444 & No.41472297)
文摘The Loess Plateau is an earthquake prone region of China, where the effects of loess deposit on ground motion were discovered during the 2008 Wenchuan earthquake(Ms8.0) and the 2013 Minxian-Zhangxian earthquake(Ms6.6). The field investigations, observations, and analyses indicated that large number of casualties and tremendous economic losses were caused not only by collapse and damage of houses with poor seismic performance, landslides, but also amplification effects of site conditions, topography and thickness of loess deposit, on ground motion. In this paper, we chose Dazhai Village and Majiagou Village as the typical loess site affected by the two earthquakes for intensity evaluation, borehole exploration, temporary strong motion array, micro tremor survey, and numerical analysis. The aim is to explore the relations between amplification factors and site conditions in terms of topography and thickness of loess deposit. We also developed site amplification factors of ground motion for engineering design consideration at loess sites. The results showed that the amplification effects are more predominant with increase in thickness of loess deposit and slope height. The amplification mayincrease seismic intensity by 1 degree, PGA and predominant period by 2 times, respectively.
基金supported by the National Key Research and Development Program of China(no.2020YFA0608702)the National Natural Science Foundation Project of China(U23A2019,W2412146,and 42171382)+1 种基金the Science and Technology Research Program of Institute of Mountain Hazards and Environment,Chinese Academy of Sciences(IMHECXTD-03)the Chinese Academy of Sciences“Light of West China”Program。
文摘Mountains cover approximately 24%of the Earth’s land surface,providing crucial sources of the planet’s fresh water and supporting vital ecosystem services.However,under the pressures of climate change and human activities,mountain ecosystems are rapidly transforming,acting as sentinels of global change.1 With the relentless advancement of satellite constellations,unmanned aerial vehicles(UAVs),and ground observation networks,we are entering a new era of stereoscopic Earth observation.Stereoscopic remote sensing combines observations from multi-altitude platforms and technologies like LiDAR and SAR to capture Earth’s information across various layers,altitudes,and depths.This approach enables the acquisition of multi-modal,multi-resolution,multiangle,multi-spectral,andmulti-temporal stereoscopic observation data,promoting a comprehensive understanding of the Earth’s surface and its dynamic processes.However,given the inherently complex three-dimensional(3D)nature of mountains,there is a pressing need for tailored observation methods and specific observation goals to effectively address the distinct challenges posed by these environments.
